Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
Anduril’s Manufacturing Design Team is seeking a Senior Industrial Engineer to own and scale our manufacturing simulation capability and system. The Manufacturing Team is responsible for rapidly iterating and building cutting-edge defense hardware — including static equipment, moving ground equipment, sensors, undersea, and flight vehicles — and scaling these products across our production footprint, including our new 5M sq ft manufacturing facility, Arsenal-1.
Within Manufacturing, Industrial Engineering delivers simulation both as an internal service and part of the manufacturing line design process (MDP): validated models of our production systems that quantify capacity, identify constraints, stress-test production plans, and evaluate design and capital-investment trade-offs before physical implementation. Done right, simulation de-risks capital expenditures, accelerates new-product-introduction (NPI) ramps, and arms leadership with validated production models and quantified risk — turning manufacturing predictability into a strategic advantage. Over time, this capability matures toward persistent, data-connected factory models that stay current and make visibility the impact of change as our production systems evolve. This role sets the standard for how that capability is architected, validated, and consumed across the company, in close collaboration with Supply Chain, Engineering, Quality, Program Management, and Business Operations.
This is not a “build a model and move on” role. We are looking for a senior engineer who can demonstrate holistic ownership of Anduril’s factory simulation capability as a durable, decision-grade asset — one that lives for years, absorbs new data as our production system evolves, and is trusted by leadership to make real capital, capacity, staffing, and ramp decisions. The right person thrives in a fast-paced, resource-limited environment, is flexible to change and ambiguity, and can act as the connective tissue among operational stakeholders to bring a production system forward.
Simulation operates in two modes. First, as a central service with an intake and prioritization system — fielding requests from across the organization for capacity studies, scenario analysis, capital justification, and production risk modeling, and triaging them against business impact and urgency. Second, as an integrated step in the Manufacturing Development Plan (MDP) process, working hand-in-hand with Layout and Labor Standards (downstream of those inputs) to model and confirm line designs, identify bottlenecks, run rate-readiness scenarios, and validate that a production system will perform before it is built.
The mandate is bigger than any single study. Our manufacturing environment is multi-variant, relatively low-volume, and runs on shared resources under fluctuating demand, evolving designs, and constrained supply chains — conditions where traditional capacity math breaks, because static spreadsheets can’t capture resource contention, queue dynamics, or cascade failures. You will decide how simulation is architected, versioned, validated, and consumed so that “can we hit this rate?”, “where’s the bottleneck?”, and “what happens if this line goes down?” become queries against a maintained, centralized model — not one-off spreadsheets that go stale the week they’re delivered — and are digestible enough that a program or operations lead can pull a defensible production plan without a background in operations research.